Multi-Perspective Process Mining Interfaces for HL7 AuditEvent Repositories: XES and OCEL.

BACKGROUND: Medical information systems frequently use event logging, but these logs are not suitable for process mining as they are not logged in a standardized format. OBJECTIVES: Our goal is to enrich medical event logs for use in process mining. METHOD: We present an approach to convert events from standards- based repositories into the XES and OCEL formats commonly used in process mining. RESULTS: We tested this approach using simulated data from the Austrian breast cancer screening program. CONCLUSION: We aim to apply it to analyze care guidelines and improve hospital processes in the future.

Extending a Data Management Maturity Model for Process Mining in Healthcare.

BACKGROUND: Many components must work together to continuously improve processes in healthcare organizations. Process mining has recently developed into a discipline that can make a significant contribution here. OBJECTIVES: We want to extend an existing management tool to assess and improve the capability of organizations in this area. METHOD: We add a dimension to the adoption readiness assessment and maturity model for sharable clinical pathways to assess and improve event data quality. RESULTS: We present different approaches for formal and checkpoint assessments and an embedding of the improvement strategy with examples. CONCLUSION: The additional dimension from the process mining domain integrates with the existing model. At all levels, links can be established between the various aspects of event data quality with existing dimensions. The model has yet to be tested in a real-world use case.